{"id":"https://openalex.org/W2782976991","doi":"https://doi.org/10.1109/icsai.2017.8248286","title":"Finding saliency object via an integration approach","display_name":"Finding saliency object via an integration approach","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2782976991","doi":"https://doi.org/10.1109/icsai.2017.8248286","mag":"2782976991"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064218293","display_name":"Hui Zhong","orcid":"https://orcid.org/0000-0001-5214-9235"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhong","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450522","display_name":"Xiao Lin","orcid":"https://orcid.org/0000-0002-8805-7129"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Lin","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102002511","display_name":"Linhua Jiang","orcid":"https://orcid.org/0000-0002-7990-0444"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhua Jiang","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064218293"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20161774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"182","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.8887242078781128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.804322361946106},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.7839421033859253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7464627623558044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7252052426338196},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.6472577452659607},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5861287117004395},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5462701320648193},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5120628476142883},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.49619442224502563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4781654477119446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45962417125701904},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44563132524490356},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4165959060192108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19414672255516052}],"concepts":[{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.8887242078781128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.804322361946106},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.7839421033859253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7464627623558044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252052426338196},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.6472577452659607},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5861287117004395},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5462701320648193},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5120628476142883},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.49619442224502563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4781654477119446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45962417125701904},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44563132524490356},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4165959060192108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19414672255516052},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1772076007","https://openalex.org/W1897243830","https://openalex.org/W1918837316","https://openalex.org/W1966822461","https://openalex.org/W1969544586","https://openalex.org/W1996326832","https://openalex.org/W2002781701","https://openalex.org/W2012496675","https://openalex.org/W2031489346","https://openalex.org/W2036576620","https://openalex.org/W2039313011","https://openalex.org/W2041719651","https://openalex.org/W2047670868","https://openalex.org/W2065985528","https://openalex.org/W2070237190","https://openalex.org/W2100470808","https://openalex.org/W2105454024","https://openalex.org/W2117606586","https://openalex.org/W2127807804","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2130184867","https://openalex.org/W2130502991","https://openalex.org/W2133858838","https://openalex.org/W2146103513","https://openalex.org/W2156777442","https://openalex.org/W2159772167","https://openalex.org/W2161185676","https://openalex.org/W2165874743","https://openalex.org/W2411544765","https://openalex.org/W3104979525","https://openalex.org/W6600850345","https://openalex.org/W6639624585","https://openalex.org/W6649627412","https://openalex.org/W6679570432"],"related_works":["https://openalex.org/W2805433183","https://openalex.org/W2001667162","https://openalex.org/W2782976991","https://openalex.org/W1978345117","https://openalex.org/W2575602754","https://openalex.org/W3009179364","https://openalex.org/W2351778949","https://openalex.org/W1967391339","https://openalex.org/W2381059340","https://openalex.org/W2145475630"],"abstract_inverted_index":{"Saliency":[0],"detection":[1,22,34],"is":[2,107],"a":[3,19,88],"hot":[4],"topic":[5],"in":[6],"the":[7,39,45,52,67,71,76,104],"community":[8],"of":[9,99],"computer":[10],"image":[11,77],"and":[12,42],"vision.":[13],"In":[14,56],"this":[15],"paper,":[16],"we":[17,58,74,84],"present":[18],"new":[20],"saliency":[21,46,89,94],"method.":[23],"Given":[24],"an":[25],"input":[26],"image,":[27],"our":[28,92],"method":[29],"first":[30],"uses":[31],"Harris":[32],"corner":[33],"technique":[35],"to":[36,48,62,79,109],"approximately":[37],"locate":[38],"salient":[40],"region,":[41],"then":[43],"assign":[44],"scores":[47],"each":[49],"pixel,":[50],"getting":[51],"center-prior":[53],"based":[54],"map.":[55,69,82,95],"addition,":[57],"employ":[59],"Bayesian":[60],"formula":[61],"further":[63],"optimize":[64],"it,":[65],"obtaining":[66],"center-Bayesian":[68],"On":[70],"other":[72],"hand,":[73],"use":[75],"boundary":[78],"generate":[80],"boundary-based":[81],"Finally,":[83],"merge":[85],"them":[86],"into":[87],"map":[90],"as":[91],"final":[93],"A":[96],"large":[97],"number":[98],"experimental":[100],"results":[101],"demonstrate":[102],"that":[103],"proposed":[105],"algorithm":[106],"superior":[108],"most":[110],"existing":[111],"algorithms.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}